Maxnet output produced using SDMtune version 1.3.1 (Vignali S. et al., 2020).
## Warning: [30mThe following aesthetics were dropped during statistical transformation: [32mm, d[30m
## [36mℹ[30m This can happen when ggplot fails to infer the correct grouping structure in the data.
## [36mℹ[30m Did you forget to specify a `group` aesthetic or to convert a numerical variable into a factor?[39m
| Threshold | Cloglog value | Fractional predicted area | Training omission rate | Test omission rate | P-values |
|---|---|---|---|---|---|
| Minimum training presence | 0.06823105 | 0.380 | 0.00000 | 0.0009920635 | 0 |
| Equal training sensitivity and specificity | 0.37706689 | 0.138 | 0.12500 | 0.0019841270 | 0 |
| Maximum training sensitivity plus specificity | 0.30189623 | 0.161 | 0.06250 | 0.0009920635 | 0 |
| Equal test sensitivity and specificity | 0.35417161 | 0.143 | 0.09375 | 0.0009920635 | 0 |
| Maximum test sensitivity plus specificity | 0.35417161 | 0.143 | 0.09375 | 0.0009920635 | 0 |
| Variable | Permutation_importance | sd |
|---|---|---|
| Bio2 | 31.6 | 0.022 |
| Bio19 | 21.3 | 0.027 |
| Bio9 | 13.7 | 0.015 |
| Bio3 | 13.0 | 0.011 |
| Bio18 | 11.3 | 0.019 |
| Bio15 | 9.0 | 0.015 |
Shown below the settings used to train the model: